Staged Training Report ✓ Complete

Run ID: shoulder_session_multiheight_vgg_loss_small
Generated: 2026-02-23 18:49:03
Stages Completed: 1
Total Elapsed Time: 05:20:42

Configuration

No config defaults changed since last commit.

All Configuration Parameters (60 parameters)
ParameterValue
total_samples10000000
batch_size8
stage_samples_multiplier100000000000
update_interval250
window_size100
num_best_models_to_keep1
sampling_modeLoss-weighted
loss_weight_temperature0.5
loss_weight_refresh_interval50
stop_on_divergenceTrue
divergence_gap0.002
divergence_ratio1.5
divergence_patience50
divergence_min_updates10
val_spike_threshold2.0
val_spike_window15
val_spike_frequency0.75
val_plateau_patience250
val_plateau_min_delta0.0001
custom_lr0.0001
disable_lr_scalingTrue
custom_warmup-1
lr_min_ratio0.001
resume_warmup_ratio0.05
plateau_factor0.8
plateau_patience15
preserve_optimizerFalse
preserve_schedulerTrue
samples_modeTrain additional samples
num_random_obs_to_visualize2
selected_frame_offset3
runs_per_stage5
serial_runsTrue
clean_old_checkpointsTrue
enable_baselineFalse
baseline_runs_per_stage1
run_idshoulder_session_multiheight_vgg_loss_small
enable_wandbTrue
wandb_projectdevelopmental-robot-movement
lr_sweep.lr_min1e-07
lr_sweep.lr_max0.01
lr_sweep.phase_a_num_candidates5
lr_sweep.phase_a_seeds1
lr_sweep.phase_a_time_budget_min3.0
lr_sweep.phase_a_survivor_count2
lr_sweep.phase_b_seeds3
lr_sweep.phase_b_time_budget_min10.0
lr_sweep.ranking_metricmedian_best_val
lr_sweep.min_samples_before_timeout1000
lr_sweep.min_evals_before_stop5
lr_sweep.save_sweep_stateTrue
plateau_sweep.enabledTrue
plateau_sweep.plateau_ema_alpha0.85
plateau_sweep.plateau_improvement_threshold0.0015
plateau_sweep.plateau_patience25
plateau_sweep.cooldown_updates5
plateau_sweep.max_sweeps_per_stage2
plateau_sweep.min_sweep_improvement0.0
initial_sweep_enabledTrue
stage_time_budget_min180

Timing Summary

Stage Plateau Sweeps Sweep Time Training Time Stage Total
Stage 1 3 00:59:33 00:12:42 01:12:16
TOTAL 3 00:59:33 00:12:42 01:12:16

Initial LR Sweep: Stage 1: selected LR 3.16e-05 in 00:23:48

Plateau Sweep Details

Total Sweeps: 3
Stages with Sweeps: 1 of 1
Total Sweep Time: 00:59:33
Average Sweep Duration: 00:19:51

Stage 1: 3 sweeps

LR Progression: 3.2e-05 → 1.0e-07 → 1.0e-07 → 1.0e-07

Sweep # Triggered At (samples) Wall Time Selected LR Duration
1 20,736 00:04:24 1.00e-07 00:17:50
2 39,680 00:26:19 1.00e-07 00:19:20
3 50,944 00:48:05 1.00e-07 00:22:22

Stage Results

Stage Best Loss Stop Reason Samples Trained Time Sweeps LR (Initial→Final)
Stage 1 0.117971 max_sweeps (2) 8,192 01:12:16 3 3.2e-05→1.0e-07

Total Plateau Sweeps: 3

Stop Reason Breakdown

Loss Across Full Training Run

Multi-Run Statistics

Total Runs: 5
Average Best Loss: 0.119450 ± 0.001317
Best Overall: 0.117971
Worst Overall: 0.121096

Stage 1 (5 runs)

Run Best Loss Stop Reason Samples Time Selected
1 0.121096 max_sweeps (2) 17,920 00:44:51
2 0.119198 max_sweeps (2) 13,568 01:04:17
3 0.117971 max_sweeps (2) 8,192 01:12:16
4 0.118131 max_sweeps (2) 18,944 01:11:41
5 0.120856 max_sweeps (2) 9,984 00:41:22
Mean: 0.119450 ± 0.001317 Min: 0.117971 / Max: 0.121096 Range: 0.003124

Best Checkpoint

Name: best_model_auto_session_so101_multiheight_part1_1345_shoulder_session_multiheight_vgg_loss_small_00052736_cont_val_0.117971.pth
Stage: 1
Hybrid Loss (full session): 0.130118

Learning Rate Timeline with Plateau Sweeps

Stage Progression

Stage Orig Loss Train Loss Time Samples Stop Reason
1 ⭐ 0.130118 0.117971 01:12:16 8192 max_sweeps (2)

Hybrid Loss Over Original Session (per Stage)

Stage 1 (Best) - Hybrid Loss: 0.130118

Sample Counts

Cumulative Across All Stages

Per Stage

Stage 1 (Best) - Total Samples: 8,192

Best Checkpoint Inference

Selected Frame 3

Action 0

Action 1

Action 2

Random Observations

Observation 444

Action 0
Action 1
Action 2

Observation 67

Action 0
Action 1
Action 2